Results 21 to 30 of about 1,745,508 (275)
Survey of text classification methods based on deep learning
网络与信息安全学报, 2020 Text classification is a research hot spot in the field of natural language processing,which is mainly used in public opinion detection,news classification and other fields.In recent years,artificial neural networks has good performance in many tasks of ...
Sijia DU, Haining YU, Hongli ZHANG
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Multilabel Text Classification Using Multilayer DGAT
IEEE Access, 2022 Text classification is one of the most fundamental tasks in text data analysis. Generally, textual data are extensive in scale and complex in the inherent relationship, leading to low accuracy in traditional classification models.
Hui Chen +4 more
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Automatic Classification of Text Databases through Query Probing [PDF]
, 2000 Many text databases on the web are "hidden" behind search interfaces, and their documents are only accessible through querying. Search engines typically ignore the contents of such search-only databases.
D. Hawking +11 more
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An Overview of Automatic Text Classification [PDF]
بازیابی دانش و نظامهای معنایی, 2022 Nowadays, various online resources are growing and disseminating rapidly. In order to organize these resources, attempts have been made to use automatic classification, which often uses statistical algorithms and machine learning. Recently, attention has
Reza Dehkhodaie, Atefeh Sharif
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Advances in Mathematical Physics, 2021 As a means of regulating people’s code of conduct, law has a close relationship with text, and text data has been growing exponentially. Managing and classifying huge text data have become a huge challenge.
Jingliang Sun
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Search-based short-text classification
Dianzi Jishu Yingyong, 2018 For short-text classification in case the traditional classification algorithm does not work well, this paper proposes a search-based method employing NaiveBayes.
Kang Wei +4 more
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Weakly-Supervised Neural Text Classification
, 2018 Deep neural networks are gaining increasing popularity for the classic text classification task, due to their strong expressive power and less requirement for feature engineering. Despite such attractiveness, neural text classification models suffer from
Han, Jiawei +3 more
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Enhancing Sensitivity Classification with Semantic Features using Word Embeddings [PDF]
, 2017 Government documents must be reviewed to identify any sensitive information they may contain, before they can be released to the public. However, traditional paper-based sensitivity review processes are not practical for reviewing born-digital ...
B Fung +8 more
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Simple-Random-Sampling-Based Multiclass Text Classification Algorithm
The Scientific World Journal, 2014 Multiclass text classification (MTC) is a challenging issue and the corresponding MTC algorithms can be used in many applications. The space-time overhead of the algorithms must be concerned about the era of big data.
Wuying Liu, Lin Wang, Mianzhu Yi
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IEEE Access, 2020 This study focused on the topic of predicting “proactive personality”. With 901 participants selected by cluster sampling method, targeted short-answer questions text and participants' social media post text (Weibo) were obtained while ...
Peng Wang +6 more
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